Data-Driven Quality Improvement Lead

University of California, San Francisco; San Francisco (CA); On-site; USD 130,000 - 165,000; Full time

Job summary

The University of California, San Francisco (UCSF) is seeking a seasoned Quality Improvement Specialist to lead data-driven improvement initiatives within the Department of Medicine and the Division of Hospital Medicine at ZSFG.

You will transform complex clinical data into actionable insights, develop analytic datasets, and create dashboards to inform patient care and health system performance, working with clinical and administrative leaders in a fast-paced academic medical center.

Qualifications

• Bachelor's degree in healthcare, business, or related field with 3+ years relevant experience.
• Proficiency with MS Excel and Office suite.
• Detail-oriented with ability to manage multiple priorities.
• Strong critical thinking and problem solving abilities.
• Excellent interpersonal and written/verbal communication skills.
• Knowledge of QI standards and data reporting practices.
• Experience with Epic data extraction is preferred.

Responsibilities

• Transform complex clinical data into actionable information to support quality improvement.
• Develop analytic datasets, quality measures, and data visualizations.
• Produce reports and dashboards to inform improvement efforts.
• Collaborate with clinical, operational, and administrative leaders.
• Support strategic planning, program oversight, and implementation of quality initiatives.

Skills

Excel proficiency

SAS/STATA/R

Epic data extraction

Project management

LEAN / A3

Data visualization

Communication skills

Education

Bachelor's degree in healthcare or related field

Master's degree preferred

Tools

Epic

Job description

The University of California, San Francisco (UCSF) is seeking a seasoned Quality Improvement Specialist to lead data-driven improvement initiatives within the Department of Medicine and the Division of Hospital Medicine at ZSFG.

You will transform complex clinical data into actionable insights, develop analytic datasets, and create dashboards to inform patient care and health system performance, working with clinical and administrative leaders in a fast-paced academic medical center.